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Record W4414848117 · doi:10.1155/atr/7588392

Rail Freight Transport Market Liberalization After Two Decades of Its Beginning

2025· article· en· W4414848117 on OpenAlexvenueno aff
Igor Dömény

Bibliographic record

VenueJournal of Advanced Transportation · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
FundersTomas Bata University in Zlin
KeywordsLiberalizationRail freight transportContext (archaeology)Member statesSingle marketMarket shareModal shiftTraffic management

Abstract

fetched live from OpenAlex

It has been almost 2 decades since the opening of the rail freight market in the EU came into force. The individual Member States have put different liberalization measures into practice, and the situation on the market still varies from country to country. Efforts to create a single European rail market therefore still seem to be unfulfilled, while, at the same time, the call for a shift of freight transport from road to rail in the context of the European Commission’s decarbonization targets is growing stronger. This paper provides a detailed overview of the rail freight market liberalization process and new market entrants in the EU Member States. A trend analysis of the time series was carried out, taking into account the current status of liberalization measures and the development of transport services since 2007. The resulting model uses cluster analysis as the main approach for grouping the countries based on the similarities in the rail freight market, taking into account the performance indicators, the number of licensed railway undertakings in the market and their evolution, and, last but not least, the change in the modal share of rail transport during the period considered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.228
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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